




'''simple docstring'''


from ..utils import DummyObject, requires_backends





class  __lowercase    (	metaclass=__magic_name__			):
   _a    						=   ["""onnx"""]







   def __init__(						self   ,				*UpperCamelCase   ,				**UpperCamelCase   )					->     Union[str, Any]:
     requires_backends(self   ,				['onnx']   )







   @classmethod
   def 		UpperCamelCase__      (						cls   ,				*UpperCamelCase   ,				**UpperCamelCase   )					->     Union[str, Any]:
     requires_backends(cls   ,				['onnx']   )







   @classmethod
   def 		UpperCamelCase__      (						cls   ,				*UpperCamelCase   ,				**UpperCamelCase   )					->     Any:
     requires_backends(cls   ,				['onnx']   )









'''simple docstring'''


from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_					=   {
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TrajectoryTransformerModel",
      "TrajectoryTransformerPreTrainedModel",
      "load_tf_weights_in_trajectory_transformer",
  ]


if TYPE_CHECKING:
  from .configuration_trajectory_transformer import (
      TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TrajectoryTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TrajectoryTransformerModel,
        TrajectoryTransformerPreTrainedModel,
        load_tf_weights_in_trajectory_transformer,
    )


else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



